Triple
T15937022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donaustadt |
E386464
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Alte Donau |
E430181
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alte Donau | Statement: [Donaustadt, contains, Alte Donau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alte Donau Context triple: [Donaustadt, contains, Alte Donau]
-
A.
Alte Donau
chosen
Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
-
B.
Traisen
Traisen is a river in northeastern Austria that flows through Lower Austria before joining the Danube.
-
C.
Wien River
The Wien River is a small river in Vienna, Austria, that flows through the city and into the Danube Canal, historically significant for urban development and flood control.
-
D.
Salzach River
The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
-
E.
Wiesent
The Wiesent is a river in Upper Franconia, Bavaria, known for flowing through the scenic Franconian Switzerland region and offering popular spots for canoeing and fishing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156ab7f548190b2d1aafa0e6d2c24 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec1091c8190a8e4c4db6180129a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:53 a.m.